AI in a Google SecOps SOC: Faster Triage Without Rewriting Your Rules



Chief Data Scientist
She earned her PhD in computer science with a research background in deep learning before joining Arcanna to lead the design of the decision models and agentic systems at the core of the platform. She is the technical author of how Arcanna grounds AI decisions in the team's own judgment.
Practitioner interviews
3 perspectives on why existing security stacks are breaking, and what trustworthy AI in operations actually requires.
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Darius Iakabos
Lead Solutions Architect
“SOAR was built for predictable workflows. SOC reality isn’t predictable.”
Why SOAR’s scaling ceiling isn’t compute — it’s the playbook maintenance burden — and what replaces it.

Alina Marcu, PhD
Chief Data Scientist
“AI without governance isn’t intelligence. It’s exposure.”
What a Trust Layer actually does — and why grounded decisions, drift control, and rollback are the price of putting AI in front of operations.

Denis Stefan
AI Engineer
“An agentic investigation works when the agent knows what it doesn’t know.”
How agentic investigations actually run end-to-end — structured outputs, decision-model guardrails, and verification at every step.
Keep Reading
The same wedge on the sibling stack — an AI layer that works with your SIEM.
ReadWhy SOC consistency beats raw automation.
ReadAlina's governance hub.
ReadThe buyer's checklist.
ReadThe playbook-maintenance ceiling.
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